Browsing by Author "Ochen, William"

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Design and optimization of a hybrid graphene–gold–silver terahertz metasurface biosensor for high-sensitivity sperm detection with machine learning for behavior prediction
(Journal of Electronic Materials, 2025-11-25) Muheki, Jonas; Elsayed, Hussein A.; Alfassam, Haifa E.; Ochen, William; Rajakannu, Amuthakkannan; Mehaney, Ahmed; Wekalao, Jacob
This study introduces a plasmonic-based sensor for sperm detection, integrating gold, graphene, and black phosphorus within a tailored multilayer structure. The sensor design consists of a silver-coated circular ring resonator (radius: 2–2.5 µm), a black phosphorus-coated square ring (7–8 µm), and four gold-coated circular resonators (each with a 2 µm radius) placed on a graphene-coated square platform. Electromagnetic simulations performed using COMSOL Multiphysics indicate optimal sensing performance within the 0.1–0.6 THz frequency range. The sensor demonstrates remarkable sensitivity of 5000 GHz per refractive index unit (RIU−1), a figure of merit of 90.909 RIU−1, and a detection limit of 0.02 RIU. It is capable of detecting sperm concentrations in a range of 17–197 million/mL, corresponding to refractive index variations from 1.33 to 1.3461. Furthermore, performance optimization through XGBoost machine learning achieved perfect prediction accuracy (R2 = 1.00) across all test cases. This high-efficiency sensor marks a significant step forward in sperm detection technologies, with promising applications in male fertility assessment and reproductive medicine
Mechanical properties of ceramic floor tiles made from selected minerals in Uganda
(Kyambogo University [unpublished work], 2012-06) Ochen, William
This study was designed to produce porcelain floor tiles using raw materials found in Uganda and to determine mechanical properties of the tiles produced. The properties were then compared with South African National Standards. Porcelains are made of clays, kaolin, feldspar and sand. In this study, the raw materials were mixed in proportions of 40-60% clays, 30-40% feldspar and 10-30% sand. The tests carried out include shrinkage, strength, water absorption and chemical analysis. Samples were pressed at 30MPa with 12% moisture content by weight. Firing was at peak temperatures of 1050, 1100, 1150, 1200 and 12500C. Firing process involved heating dry samples from room temperature to 1050C at 1000C/hr, after 2 hrs of holding the rate was then raised to 3600 C/hr and soaked for 1 hr at peak temperatures. Samples were left to cool naturally in the kiln for 16 hrs. Chemical analysis of the minerals by XRF method revealed that kaolin had an alumina content of 24.9 (wt %) whereas sand had silica at 95.0 (wt %). Iron oxide which influences the color of samples was high in ball clay at 3.2 (wt %). Maximum strength of 34MPa was exhibited by composition 2 at 12500C with linear shrinkage of 9.1 % and water absorption of 0.0 (wt %). South African National Standards classifies tiles whose strength is above 30MPa as B1. All samples fired in the temperature range of 1100 to 12500C exhibited properties in the range recommended by SANS both in strength and water absorption for flooring as B1 to B4 tiles. Minerals from the studied deposits yielded high grade ceramic floor tiles recommended by SANS for flooring. No cracks were exhibited by samples fired at 1100 to 12500C
Multi-resonator plasmonic metasurface biosensor with graphene enhancement for ultra-sensitive terahertz pregnancy detection using machine learning optimization
(Journal of Electromagnetic Waves and Applications, 2025-11-27) Wekalao, Jacob; Muhek,Jonas; Elsayed, Hussein A.; Mehaney,Ahmed; Othmane, Sarah I.; Abukhadra, Mostafa R.; Bellucci, Stefano; Rajakannu,Amuthakkannan; Ochen, William
This study presents a multi-resonator plasmonic metasurface biosensor operating in the terahertz range for detecting human chorionic gonadotropin (hCG), a primary pregnancy biomarker. The sensor consists of four resonators with different geometries and dimensions made from graphene, copper, aluminum, and gold. Its operation is based on surface plasmon resonance. Finite element simulations showed that transmittance varied from 98.428% to 30.736% as the graphene chemical potential changed from 0.1 to 0.45 eV. The optimized sensor achieved a sensitivity of 1000 GHz per refractive index unit (RIU) and a figure of merit of 13.333 RIU−1 . A Gradient Boosting Regressor model was used to predict sensor behavior. The model produced R 2 values between 0.90 and 1.00 for variations in incident angle, square ring geometry, and graphene chemical potential. Resonance frequency shifted from 0.32 to 0.30 THz with refractive index changes, following a linear relationship (R2 = 0.88947) that allows calibration for hCG detection.